Measuring Trust in Children's Speech: Towards Responsible Robot-Supported Information Search

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Abstract

Children use conversational agents, such as Alexa or Siri, to search for information, but also tend to trust these agents which might influence their information assessment. It is challenging for children to assess the veracity of information retrieved from the internet and social media, possibly more so when they trust a voice agent excessively. In this project, I propose to design child-robot interactions to empower children to have a critical attitude by implementing real-time trust monitoring and robot behavioural interventions in cases of high trust. First, we need to be able to measure children's level of trust in the robot real-time during the interaction, to reason about when excessive trust may be occurring. Second, we need to study what behavioural interventions by the robot foster critical attitudes toward the provided information. By adapting the robot's behavior when excessive trust occurs, I aim to contribute to more responsible interactions between children and robots.
Original languageEnglish
Title of host publicationHRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
PublisherACM Publishing
Pages748-750
Number of pages3
ISBN (Electronic)9781450399708
DOIs
Publication statusPublished - Mar 2023
Event18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 - Stockholm , Sweden
Duration: 13 Mar 202316 Mar 2023
Conference number: 18

Conference

Conference18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
Abbreviated titleHRI 2023
Country/TerritorySweden
CityStockholm
Period13/03/2316/03/23

Keywords

  • 2023 OA procedure

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